metadata
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Zidan_model_output_v3
results: []
Zidan_model_output_v3
This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8558
- Accuracy: 0.6364
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 193 | 1.0399 | 0.5114 |
| No log | 2.0 | 386 | 0.9771 | 0.5758 |
| 1.0347 | 3.0 | 579 | 0.9387 | 0.5947 |
| 1.0347 | 4.0 | 772 | 0.8982 | 0.6136 |
| 1.0347 | 5.0 | 965 | 0.8807 | 0.625 |
| 0.848 | 6.0 | 1158 | 0.8706 | 0.6288 |
| 0.848 | 7.0 | 1351 | 0.8641 | 0.6515 |
| 0.7481 | 8.0 | 1544 | 0.8558 | 0.6364 |
| 0.7481 | 9.0 | 1737 | 0.8595 | 0.6326 |
| 0.7481 | 10.0 | 1930 | 0.8559 | 0.6439 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1